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How MCP can revolutionize the way DevOps teams use AI

CIO

Traditionally, the main benefit that generative AI technology offered DevOps teams was the ability to produce things, such as code, quickly and automatically. But not all DevOps work involves generating things. Thanks to the Model Context Protocol (MCP), however, DevOps teams now enjoy a litany of new ways to take advantage of AI.

DevOps 196
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Azure container Apps: The future of Microservices in Azure?

Xebia

The DevOps movement is still growing and growing; the mantra “You build it, you run it” really works for building better software. Introducing Azure Container Apps (ACA). As mentioned, Microsoft aimed for creating an optimized way of deploying and running containerized workloads when building Azure Container Apps.

Azure 130
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The future of Cloud-native software development with Radius

Xebia

DevOps The introduction of DevOps marked a cultural and operational shift in software development. DevOps emphasized the collaboration between development and operations teams, breaking down silos and fostering a culture of continuous integration and continuous delivery (CI/CD) and an Agile way of working.

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Azure Container Apps – Simplifying Container Deployment Without the Kubernetes Complexity

Xebia

In August 2021, I was accepted to test and provide feedback on what was referred to as ‘Azure Worker Apps’, another Azure service Microsoft was developing to run containers. Fast forward, that service is now known as Azure Container Apps. This is where Azure Web Apps for Containers comes into play.

Azure 130
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Microsoft Taps vFunction to Refactor Java Apps for Azure

DevOps.com

Microsoft has teamed up with vFunction to make it easier to convert monolithic Java applications into a set of microservices that can be deployed on the Microsoft Azure cloud. The post Microsoft Taps vFunction to Refactor Java Apps for Azure appeared first on DevOps.com.

Azure 135
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Cross-Platform Integration: Enabling Seamless Workflow Between AI, Microservices, and Azure Cloud

Dzone - DevOps

Moreover, this integration is particularly critical and has to be effectively designed when combining AI capabilities, microservices architecture, and cloud platforms like Azure. These components, when integrated, offer powerful solutions that drive innovation and efficiency across various domains.

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Adobe Strategy Revolves Around DevOps

DevOps.com

At the Adobe Summit 2019 conference this week, Adobe detailed that its Adobe Experience Cloud customer experience ecosystem is reliant on a set of best DevOps processes that is wrapped around a modern microservices architecture and layered on top of big data platform deployed on the Azure cloud.

DevOps 111